Iqbal Mahmud

2.0k total citations · 1 hit paper
71 papers, 1.1k citations indexed

About

Iqbal Mahmud is a scholar working on Molecular Biology, Cancer Research and Materials Chemistry. According to data from OpenAlex, Iqbal Mahmud has authored 71 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 13 papers in Cancer Research and 12 papers in Materials Chemistry. Recurrent topics in Iqbal Mahmud's work include Metabolomics and Mass Spectrometry Studies (10 papers), Cancer, Lipids, and Metabolism (9 papers) and Ferroelectric and Piezoelectric Materials (6 papers). Iqbal Mahmud is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (10 papers), Cancer, Lipids, and Metabolism (9 papers) and Ferroelectric and Piezoelectric Materials (6 papers). Iqbal Mahmud collaborates with scholars based in United States, Bangladesh and South Korea. Iqbal Mahmud's co-authors include Timothy J. Garrett, Daiqing Liao, Soon‐Chul Ur, Kamal Chowdhury, Arezue Boroujerdi, Man-Soon Yoon, Philip L. Lorenzi, Frederico Garcia Pinto, Bongyong Lee and Ranjan J. Perera and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Iqbal Mahmud

68 papers receiving 1.1k citations

Hit Papers

Cell cycle arrest induces lipid droplet formation and con... 2024 2026 2025 2024 20 40 60

Peers

Iqbal Mahmud
Zhibin Xu China
Haijie Li China
Xinyu Li China
Zeyu Li China
Song Liu China
Zhibin Xu China
Iqbal Mahmud
Citations per year, relative to Iqbal Mahmud Iqbal Mahmud (= 1×) peers Zhibin Xu

Countries citing papers authored by Iqbal Mahmud

Since Specialization
Citations

This map shows the geographic impact of Iqbal Mahmud's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Iqbal Mahmud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iqbal Mahmud more than expected).

Fields of papers citing papers by Iqbal Mahmud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iqbal Mahmud. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Iqbal Mahmud. The network helps show where Iqbal Mahmud may publish in the future.

Co-authorship network of co-authors of Iqbal Mahmud

This figure shows the co-authorship network connecting the top 25 collaborators of Iqbal Mahmud. A scholar is included among the top collaborators of Iqbal Mahmud based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Iqbal Mahmud. Iqbal Mahmud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Qin, Upasana Ray, Iqbal Mahmud, et al.. (2025). Targeting caseinolytic mitochondrial matrix peptidase, a novel contributor to the pathobiology of high-risk multiple myeloma. Blood. 145(22). 2614–2629. 2 indexed citations
2.
Khansur, Neamul H., Iqbal Mahmud, Mostafizur Rahaman, et al.. (2025). Synthesis of La2NiMnO6 Double Perovskite as a Highly Selective Electrocatalyst for Oxygen Reduction to Hydrogen Peroxide in Electrochemical Energy Conversion. ACS Applied Energy Materials. 8(2). 949–963. 5 indexed citations
3.
Mahmud, Iqbal, Bo Wei, Lucas Veillon, et al.. (2025). Ion suppression correction and normalization for non-targeted metabolomics. Nature Communications. 16(1). 1347–1347. 5 indexed citations
4.
Wang, Dazhi, Iqbal Mahmud, Vijay S. Thakur, et al.. (2024). GPR1 and CMKLR1 Control Lipid Metabolism to Support the Development of Clear Cell Renal Cell Carcinoma. Cancer Research. 84(13). 2141–2154. 9 indexed citations
5.
Lee, Hyemin, Amber D. Horbath, Lavanya Kondiparthi, et al.. (2024). Cell cycle arrest induces lipid droplet formation and confers ferroptosis resistance. Nature Communications. 15(1). 79–79. 65 indexed citations breakdown →
6.
Chattopadhyay, C, Jason Roszik, Rajat Bhattacharya, et al.. (2024). Imipridones inhibit tumor growth and improve survival in an orthotopic liver metastasis mouse model of human uveal melanoma. British Journal of Cancer. 131(11). 1846–1857. 6 indexed citations
7.
Jenkins, Brittany D., Sandeep K. Singhal, Kevin Gardner, et al.. (2023). Immune Profile of Exosomes in African American Breast Cancer Patients Is Mediated by Kaiso/THBS1/CD47 Signaling. Cancers. 15(8). 2282–2282. 3 indexed citations
8.
Baek, Mokryun L., Katherine E. Pendleton, Lin Tan, et al.. (2023). Mitochondrial structure and function adaptation in residual triple negative breast cancer cells surviving chemotherapy treatment. Oncogene. 42(14). 1117–1131. 34 indexed citations
9.
Vijayakurup, Vinod, Hye Seung Lee, Sandra Burkett, et al.. (2022). Thymidylate synthase accelerates Men1-mediated pancreatic tumor progression and reduces survival. JCI Insight. 7(19). 6 indexed citations
10.
Pillai, Smitha, Iqbal Mahmud, Rohit Mahar, et al.. (2022). Lipogenesis mediated by OGR1 regulates metabolic adaptation to acid stress in cancer cells via autophagy. Cell Reports. 39(6). 110796–110796. 38 indexed citations
11.
Pinto, Frederico Garcia, et al.. (2022). Data-Driven Soft Independent Modeling of Class Analogy in Paper Spray Ionization Mass Spectrometry-Based Metabolomics for Rapid Detection of Prostate Cancer. Analytical Chemistry. 94(4). 1925–1931. 15 indexed citations
12.
Tan, Sze Kiat, Iqbal Mahmud, Flavia Fontanesi, et al.. (2021). Obesity-Dependent Adipokine Chemerin Suppresses Fatty Acid Oxidation to Confer Ferroptosis Resistance. Cancer Discovery. 11(8). 2072–2093. 78 indexed citations
13.
Mahmud, Iqbal, Frederico Garcia Pinto, Bongyong Lee, et al.. (2021). Rapid Diagnosis of Prostate Cancer Disease Progression Using Paper Spray Ionization Mass Spectrometry. Analytical Chemistry. 93(22). 7774–7780. 31 indexed citations
14.
Pinto, Frederico Garcia, et al.. (2020). Rapid Prostate Cancer Noninvasive Biomarker Screening Using Segmented Flow Mass Spectrometry-Based Untargeted Metabolomics. Journal of Proteome Research. 19(5). 2080–2091. 25 indexed citations
15.
Mahmud, Iqbal & Timothy J. Garrett. (2020). Mass Spectrometry Techniques in Emerging Pathogens Studies: COVID-19 Perspectives. Journal of the American Society for Mass Spectrometry. 31(10). 2013–2024. 58 indexed citations
16.
Menzies, Victoria, Angela Starkweather, Yingwei Yao, et al.. (2020). Exploring Associations Between Metabolites and Symptoms of Fatigue, Depression and Pain in Women With Fibromyalgia. Biological Research For Nursing. 23(1). 119–126. 9 indexed citations
17.
Mahmud, Iqbal, et al.. (2020). Recent Progress in Waterless Textile Dyeing. Journal of Textile Science & Engineering. 10(6). 1–3. 3 indexed citations
18.
Mahmud, Iqbal, Mamun Kabir, Rashidul Haque, & Timothy J. Garrett. (2019). Decoding the Metabolome and Lipidome of Child Malnutrition by Mass Spectrometric Techniques: Present Status and Future Perspectives. Analytical Chemistry. 91(23). 14784–14791. 13 indexed citations
19.
Purayil, Hamsa Thayele, et al.. (2018). βArrestin2 Mediates Renal Cell Carcinoma Tumor Growth. Scientific Reports. 8(1). 4879–4879. 21 indexed citations
20.
Mahmud, Iqbal, et al.. (2017). Comparison of global metabolite extraction strategies for soybeans using UHPLC-HRMS. Analytical and Bioanalytical Chemistry. 409(26). 6173–6180. 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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